Many hydrological engineering planning, design, and management problems req
uire a derailed knowledge of flood event characteristics, such as flood pea
k, volume and duration. Flood frequency analysis often focuses on flood pea
k values, and hence, provides a limited assessment of flood events. This pa
per proposes the use of the Gumbel mixed model, the bivariate extreme value
distribution model with Gumbel marginals, to analyze the joint probability
distribution of correlated hood peaks and volumes, and the joint probabili
ty distribution of correlated hood volumes and durations. Based on the marg
inal distributions of these random variables, the joint distributions, the
conditional probability functions, and the associated return periods are de
rived. The model is tested and validated using observed flood data from the
Ashuapmushuan river basin in the province of Quebec, Canada. Results indic
ate that the model is suitable for representing the joint distributions of
hood peaks and volumes, as well as flood volumes and durations. (C) 1999 El
sevier Science B.V. All rights reserved.